Galaxy Zoo: Clump Scout – Design and first application of a two-dimensional aggregation tool for citizen science
Galaxy Zoo: Clump Scout – Design and first application of a two-dimensional aggregation tool for citizen science
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Galaxy Zoo：Clump Scout – 设计并首次应用公众科学的二维聚合工具
DOI：
10.1093/mnras/stac2919
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发表时间：
2022
影响因子：
4.8
通讯作者：
Mantha, Kameswara Bharadwaj
中科院分区：
文献类型：
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作者：
Dickinson, Hugh;Adams, Dominic;Mehta, Vihang;Scarlata, Claudia;Fortson, Lucy;Serjeant, Stephen;Krawczyk, Coleman;Kruk, Sandor;Lintott, Chris;Mantha, Kameswara Bharadwaj
银河系动物园：星团侦察是一个基于网络的公民科学项目，旨在识别并在空间上定位斯隆数字天空调查遗产调查拍摄到的星系中形成的巨型星团。我们提出了一个统计驱动的软件框架，旨在聚合由多个独立的银河动物园：集群童子军志愿者提供的集群位置的二维注释，并生成一个共识标签，以识别每个星系中可能集群的位置。我们的框架所基于的统计模型允许我们为我们识别的每个群体分配假阳性概率，估计每个为银河动物园：群体童子军做出贡献的志愿者的技能水平，还可以定量评估为每个主题得出的共识标签的可靠性。我们将我们的框架应用于一个包含3561个 454个二维点的数据集，这些点组成了由20名 999志愿者提供的85个 286个不同主题的1739个 259注释。使用这个数据集，我们识别了分布在44个 126星系中的128个 100潜在团块。这个数据集可以用来研究低红移星系中巨星形成团块的发生率和人口学。我们聚合软件框架的代码可在以下网址公开获得：https://github.com/ou-astrophysics/BoxAggregator
Galaxy Zoo: Clump Scoutis a web-based citizen science project designed to identify and spatially locate giant star forming clumps in galaxies that were imaged by the Sloan Digital Sky Survey Legacy Survey. We present a statistically driven software framework that is designed to aggregate two-dimensional annotations of clump locations provided by multiple independentGalaxy Zoo: Clump Scoutvolunteers and generate a consensus label that identifies the locations of probable clumps within each galaxy. The statistical model our framework is based on allows us to assign false-positive probabilities to each of the clumps we identify, to estimate the skill levels of each of the volunteers who contribute toGalaxy Zoo: Clump Scoutand also to quantitatively assess the reliability of the consensus labels that are derived for each subject. We apply our framework to a data set containing 3561 454 two-dimensional points, which constitute 1739 259 annotations of 85 286 distinct subjects provided by 20 999 volunteers. Using this data set, we identify 128 100 potential clumps distributed among 44 126 galaxies. This data set can be used to study the prevalence and demographics of giant star forming clumps in low-redshift galaxies. The code for our aggregation software framework is publicly available at: https://github.com/ou-astrophysics/BoxAggregator